Service Provisioning Framework for RAN Slicing: User Admissibility, Slice Association and Bandwidth Allocation

Service Provisioning Framework for RAN Slicing: User Admissibility, Slice Association and Bandwidth Allocation
复制标题

RAN 切片的服务提供框架:用户准入、切片关联和带宽分配

DOI:
10.1109/tmc.2020.3000657
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发表时间:
2021-12-01
影响因子:
7.9
通讯作者:
Imran, Muhammad Ali
Imran, Muhammad Ali
中科院分区:
计算机科学2区
文献类型:
--
作者:
Sun, Yao;Qin, Shuang;Imran, Muhammad Ali

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网络切片(Network Slicing,NS)被认为是未来移动的网络系统最有前途的架构技术之一,可以满足用户极其多样化的业务需求。在无线接入网(RAN)切片中,切片用户的业务配置比传统移动的网络中的业务配置复杂得多,因为要同时考虑用户与基站(BS)的物理关联和与NS的逻辑关联的约束。换句话说,在为具有各种服务质量(QoS)要求的多样化用例提供定制服务时,应该解决用户-BS-NS三层关联关系。因此,RAN切片中的服务提供成为5G及以后系统的一个重要但具有挑战性的问题。在本文中,我们提出了一个统一的框架,在RAN切片服务提供的目的是最大限度地提高资源利用率,同时保证用户的QoS。该框架包括两个步骤。第一步是确定一组切片用户的QoS可以同时满足,而第二步执行联合切片关联和带宽分配,旨在最大限度地减少带宽消耗。数值结果表明,在典型的情况下,我们提出的服务提供框架可以实现显着的性能增益的服务用户的数量和无线带宽利用率相比,传统的计划。
Network slicing (NS) has been identified as one of the most promising architectural technologies for future mobile network systems to meet the extremely diversified service requirements of users. In radio access networks (RAN) slicing, service provisioning for slice users becomes much more complicated than that in traditional mobile networks, as the constraints of both user physical association with base station (BS) and logical association with NS should be considered. In other words, the user-BS-NS three layer association relationship should be addressed in provisioning tailored service for diversified use cases with various quality of service (QoS) requirements. Therefore, service provisioning in RAN slicing becomes an essential yet challenging issue for 5G and beyond systems. In this paper, we propose a unified framework for service provisioning in RAN slicing with aim of maximizing resource utilization while guaranteeing QoS of users. The framework consists of two steps. The first step is to identify a set of slice users whose QoS can be satisfied simultaneously; while the second step performs joint slice association and bandwidth allocation with aim to minimize bandwidth consumption. Numerical results show that in typical scenarios, our proposed service provisioning framework can achieve significant performance gain in terms of the number of serving users and wireless bandwidth utilization compared with traditional schemes.